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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 2398
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    Explanations

    references to different types of food, especially burgers and pizza

    oai_token-act-pair · gpt-3.5-turbo

    references to specific food items, particularly burgers and pizza

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.78
    cms
    -0.77
    agall
    -0.76
    itably
    -0.75
    hm
    -0.72
    audi
    -0.71
    20439
    -0.70
    Thom
    -0.68
    perty
    -0.67
    yss
    -0.67
    POSITIVE LOGITS
     joints
    1.23
     joint
    1.03
     dough
    1.01
     topp
    1.00
     sandwiches
    1.00
     sauce
    0.96
     seasoning
    0.95
     taco
    0.93
     restaurant
    0.92
     pizza
    0.92
    Activations Density 0.090%

    No Known Activations